Remove Credit Risk Remove Retail Remove Valuation
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Deep Dive: Digital-First Banks Harness The Power Of Data Analytics

PYMNTS

Big Data analytics reached a market valuation of $29.87 It is key to risk management functions, which entail assessing the likelihood that any given transaction could be fraudulent or present a credit risk. One of the most powerful tools in the financial sector is data analytics.

Banking 94
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GCC Banking’s New Techno-Frontier

Global Finance

Banks have been traditionally product-centric,” says Rajesh Saxena, CEO of Retail and Central Banking at Intellect Design Arena, a fintech designer for financial services. AI algorithms analyze vast amounts of data to assess credit risk, detect anomalies, and prevent AML fraud,” Saxena notes. So, what about the GCC?

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Walmart Amazon Whole Paycheck Tracker: New Expansions, Partnerships And Reorganizations

PYMNTS

John Cronin, an analyst at Goodbody’s, told the Financial Times that by using banking partnerships, Amazon could “significantly extend” its SMB lending platform, “without any associated credit risk of regulatory obligations (in the context of capital and liquidity and so forth).”. Never underestimate the value of logistics.

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Transcript: Greg Davis, CIO Vanguard

Barry Ritholtz

I found this conversation to be absolutely a masterclass in how to think about investing risk, how to think about where your returns come from, what sort of behavioral problems lead to bad outcomes, and all of the usual things that we’ve learned over the years from the success of Vanguard. And Greg Davis just does an amazing job.

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B2B eCommerce Tips The VC Scales

PYMNTS

India’s FinBox landed an undisclosed amount of pre-Series A funding, reports in Inc42 said this week, with investors at Arali Ventures leading the investment in the credit risk management technology startup. MaxAB targets informal food and grocery retailers and suppliers, connecting them on a digital platform to conduct trade.

B2B 51
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Transcript: Armen Panossian

Barry Ritholtz

But at the end of the day, the companies we invest in are bottoms up or based on bottoms up credit analytics that we have the conviction and we’ll return par plus accrued through through a cycle. And if they don’t, we’re happy to own them at the valuation that we are creating that company act.

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Transcript: Rick Rieder

Barry Ritholtz

But there are so many tools at your disposal, and let alone how much duration you’re taking, how much interest, how much credit risk you’re taking, illiquidity, et cetera. And how do you make the decision, I’m not comfortable with this credit risk relative to the return it’s going to throw off?